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that leverage state-of-the-art AI methods (deep learning, generative AI, Bayesian modelling, active learning, etc.) to combine cellular imaging data, chemical compound structure, viral genomes and other omics
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equation modeling, survival analysis and Bayesian inference Oversee the management and sharing of datasets for the CNDS including large consortium datasets across 2 different 4-site projects. Oversee data
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applications of Bayesian inference approaches is highly desirable • Expert knowledge in the areas of social and computational neuroscience • You should be a team player with high social and excellent
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European Molecular Biology Laboratory (EMBL) | Brandenburg an der Havel, Brandenburg | Germany | 2 months ago
modelling, foundation models, cross-domain/-modality learning, explainable AI and mechanistic interpretability, representation learning, Bayesian inference, causal inference, active learning, AI-based agents
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Is the Job related to staff position within a Research Infrastructure? No Offer Description 2-YEAR POSTDOCTORAL POSITION AVAILABLE AT NEUROSPIN/INM (PARIS, FRANCE) https://computationalbrainteam.com/en
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some of today’s most pressing societal challenges, including biodiversity loss, climate change, and environmental pollution. Our research combines advanced spatio-temporal modelling, Bayesian inference
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data using descriptive statistics, visualization, mapping, and advanced statistical methods including Bayesian hierarchical regression, advanced difference-in-difference techniques for causal inference
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department by carrying out both quantum information and computation projects ranging from quantum device characterization, error mitigation/suppression/correction, Bayesian-inference-based quantum information
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, health and medicine, logistics, infrastructure, and industrial operations. The PhD project will focus on the intersection of machine learning, causal inference, and classical statistical methods. A central
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gradient methods for high-dimensional neural networks, reinforcement learning, variational inference). In addition to methods development and theoretical research on modern AI and ML methods, the successful